| AbstractRecogniser(JavaVM *jvm, DigestDbModel *digestDbModel, QObject *parent=0) | AbstractRecogniser | |
| classDescription() | LinearRecogniser | [inline, static] |
| classify(const StlFeatureVec &featureVec) | LinearRecogniser | [virtual] |
| AbstractRecogniser::classify(const StrokeList &strokes) | AbstractRecogniser | [virtual] |
| AbstractRecogniser::classify(const FeatureVec &featureVec)=0 | AbstractRecogniser | [protected, pure virtual] |
| classifyGestureImp(const DGestureRecord &gesture, const QVector< FeatureResultT > &featureVec) | LinearRecogniser | [protected] |
| classKey() | LinearRecogniser | [inline, static] |
| classTitle() | LinearRecogniser | [inline, static] |
| currentTrainingProgress() const | AbstractRecogniser | |
| DECLARE_CLASS_DESCRIPTION("<B>Simple Linear Recogniser</B><BR><BR>""Although it requires 2 or more features to work, ""there are no restrictions on which features can or ""cannot be used.") | LinearRecogniser | |
| DECLARE_CLASS_KEY("linear") | LinearRecogniser | |
| DECLARE_CLASS_TITLE("Linear Recogniser") | LinearRecogniser | |
| defaultParams() const | LinearRecogniser | [virtual] |
| description() const | LinearRecogniser | [inline, virtual] |
| digestDbModel() const | AbstractRecogniser | |
| examineSample(const StlFeatureVec &featureVec, const set< int > &classes) | LinearRecogniser | |
| AbstractRecogniser::examineSample(const FeatureVec &featureVec, const QSet< int > &classes)=0 | AbstractRecogniser | [protected, pure virtual] |
| StlRecogniserInterface::examineSample(const StlFeatureVec &featureVec, const std::set< int > &classes)=0 | StlRecogniserInterface | [pure virtual] |
| extractFeatures(const Stroke &stroke) | AbstractRecogniser | [protected, virtual] |
| finaliseTraining() | LinearRecogniser | [virtual] |
| flatten(const StlStrokeList &strokes) | LinearRecogniser | [virtual] |
| AbstractRecogniser::flatten(const StrokeList &strokes) | AbstractRecogniser | [protected, virtual] |
| initTraining(const list< string > &featureKeys, const map< string, string > ¶ms) | LinearRecogniser | |
| AbstractRecogniser::initTraining(const QList< QByteArray > &featureKeys, const QHash< QString, QVariant > ¶ms)=0 | AbstractRecogniser | [protected, pure virtual] |
| StlRecogniserInterface::initTraining(const std::list< std::string > &featureKeys, const std::map< std::string, std::string > ¶ms)=0 | StlRecogniserInterface | [pure virtual] |
| jvm() const | AbstractRecogniser | |
| key() const | LinearRecogniser | [inline, virtual] |
| LinearRecogniser() | LinearRecogniser | |
| LinearRecogniser(JavaVM *jvm) | LinearRecogniser | |
| loadRecord(const DTrainedRecogRecord &record) | AbstractRecogniser | [virtual] |
| modelFilePath() const | AbstractRecogniser | |
| orderedFeatures() const | AbstractRecogniser | |
| params() const | AbstractRecogniser | |
| readModelFile(const string &fileName) | LinearRecogniser | |
| readModelFile(const QString &fileName) | LinearRecogniser | [protected, virtual] |
| StlRecogniserInterface::readModelFile(const std::string &fileName)=0 | StlRecogniserInterface | [pure virtual] |
| title() const | LinearRecogniser | [inline, virtual] |
| train(const QSet< int > &trainingSet, const QList< QByteArray > &orderedFeatures, const QString &modelFilePath, const QHash< QString, QVariant > ¶ms) | AbstractRecogniser | [virtual] |
| trainingProgressed(int progress) | AbstractRecogniser | [signal] |
| trainingSet() const | AbstractRecogniser | |
| writeModelFile(const string &fileName) | LinearRecogniser | |
| AbstractRecogniser::writeModelFile(const QString &fileName)=0 | AbstractRecogniser | [protected, pure virtual] |
| StlRecogniserInterface::writeModelFile(const std::string &fileName)=0 | StlRecogniserInterface | [pure virtual] |
| ~AbstractRecogniser() | AbstractRecogniser | [virtual] |
| ~LinearRecogniser() | LinearRecogniser | |
| ~StlRecogniserInterface() | StlRecogniserInterface | [inline, virtual] |